SOTAVerified

Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

Showing 9511000 of 9051 papers

TitleStatusHype
Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi0
IITR-CIOL@NLU of Devanagari Script Languages 2025: Multilingual Hate Speech Detection and Target Identification in Devanagari-Scripted Languages0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation0
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models0
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak0
BEE: Metric-Adapted Explanations via Baseline Exploration-ExploitationCode0
Detail-Preserving Latent Diffusion for Stable Shadow Removal0
Boosting LLM via Learning from Data Iteratively and SelectivelyCode0
Optimal signal transmission and timescale diversity in a model of human brain operating near criticalityCode1
A diversity-enhanced genetic algorithm for efficient exploration of parameter spacesCode0
DTSGAN: Learning Dynamic Textures via Spatiotemporal Generative Adversarial Network0
Acquisition of Recursive Possessives and Recursive Locatives in Mandarin0
Assessing Social Alignment: Do Personality-Prompted Large Language Models Behave Like Humans?0
A Generalizable Anomaly Detection Method in Dynamic GraphsCode2
Segmentation-based Extraction of Key Components from ECG Images: A Framework for Precise Classification and Digitization0
Adversarial Robustness through Dynamic Ensemble Learning0
Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles0
A Review of the Marathi Natural Language Processing0
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement LearningCode0
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization0
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning0
Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation0
The First Multilingual Model For The Detection of Suicide Texts0
The impact of behavioral diversity in multi-agent reinforcement learning0
Moving Beyond LDA: A Comparison of Unsupervised Topic Modelling Techniques for Qualitative Data Analysis of Online Communities0
Fast inverse lithography based on a model-driven block stacking convolutional neural network0
Active Inference and Human--Computer Interaction0
LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps0
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning0
HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMsCode1
Progressive Multimodal Reasoning via Active Retrieval0
Inferring protein folding mechanisms from natural sequence diversity0
Uncertainty Awareness in Wireless Communications and Sensing0
Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation0
Embedding Cultural Diversity in Prototype-based Recommender Systems0
Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint MapsCode1
Generating Diverse Hypotheses for Inductive Reasoning0
AnySat: One Earth Observation Model for Many Resolutions, Scales, and ModalitiesCode2
A Unifying Information-theoretic Perspective on Evaluating Generative Models0
Data-driven Discovery of Biophysical T Cell Receptor Co-specificity Rules0
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model0
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island CoevolutionCode0
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation0
Guiding Generative Protein Language Models with Reinforcement LearningCode2
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case StudyCode0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
Towards Effective Graph Rationalization via Boosting Environment Diversity0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.00
Personalized LLM for Generating Customized Responses to the Same Query from Different UsersCode0
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